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27th ieee International conference on Intelligent Transportation systems, ITSC 2024

作者： Cantatore, F. Raimondi, G. Oneto, L. Coraddu, A. Pasquale, C. Siri, E. Siri, S. Sacone, S. Anguita, D. University of Genova Via Opera Pia 11a/13 Genova16145 Italy Delft University of Technology Mekelweg 5 Delft2628 CC Netherlands Université Côte d' Azur Inria Cnrs Ljad 2004 route des Lucioles BP 93 Sophia Antipolis06902 Cedex France

ISBN: (纸本)9798331505929

Relying on a traffic simulator is often necessary when multiple traffic conditions need to be replicated, either to predict specific quantities of particular interest or to assess more general network properties, such as efficiency or resilience, under different scenarios. While potentially delivering a high level of fidelity, producing such a simulation may come at a prohibitive computational cost when it is applied in a real context, making this approach unsuitable for real-time applications in most cases. In this regard, the goal of the present work is twofold. Firstly, we aim to surrogate a traffic simulator with a data-driven approach in order to produce real-time traffic predictions that are also sufficiently accurate and effective. Secondly, we want to determine the minimum amount of data, i.e., the smallest number of sensors deployed on the network, that still allow to obtain predictions within a predefined bound. The effectiveness of the approach is evaluated on the full-scale urban network of Rapallo, Italy, in which we employ the AIMSUN NEXT simulator targeting the morning peak hours, i.e. between 7:00 a.m. and 9:00 a.m. In the paper, multiple state-of-the art ML algorithms are tested to assess their effectiveness as surrogate models under the considered problem. © 2024 ieee.

关键词： Automobile simulators

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Artificial Identification, Blockchain, Cyberphysical Social systems, Digital Twins, and Parallel Intelligence Opportunities and Synergies Between the ieee Council on Radio-Frequency Identification and systems, Man, and Cybernetics Society

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ieee systems MAN AND CYBERNETICS MAGAZINE 2021年第2期7卷 61-66页

作者： Wang, Fei-Yue Rudas, Imre J. Wu, Dongrui Wang, Xiao Yuan, Yong Zhang, Jun Jason Li, Yidong Bennett, Gisele Bassiri-Gharb, Nazanin Univ Arizona Tucson AZ 85721 USA Univ Arizona Robot & Automat Lab Tucson AZ 85721 USA Univ Arizona Program Adv Res Complex Syst Tucson AZ 85721 USA Chinese Acad Sci Intelligent Control & Syst Engn Ctr Inst Automat Beijing Peoples R China Chinese Acad Sci Key Lab Complex Syst & Intelligence Sci Beijing Peoples R China State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China CAAs Supervis Council Beijing Peoples R China IEEE Council Radiofrequency Identificat Beijing Peoples R China IEEE Syst Man & Cybernet Soc Beijing Peoples R China Obuda Univ H-1034 Budapest Hungary Huazhong Univ Sci & Technol Artificial Intelligence & Automat Wuhan 430074 Hubei Peoples R China Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing 100190 Peoples R China Qingdao Acad Intelligent Ind Qingdao Qingdao 266109 Peoples R China Renmin Univ China Sch Math Beijing 100872 Peoples R China Minist Educ Engn Res Ctr Finance Computat & Digital Engn Beijing Peoples R China Wuhan Univ Sch Elect Engn & Automat Wuhan 430072 Peoples R China Beijing Jiaotong Univ Sch Comp & Informat Technol Beijing 100044 Peoples R China MEPSS LLC Indian Harbor Beach FL 32937 USA Georgia Tech Atlanta GA 30332 USA Georgia Inst Technol GW Woodruff Sch Mech Engn Atlanta GA 30332 USA

This article describes several opportunities and synergies between the ieee Council on Radio-Frequency Identification (CRFID) and ieee systems, Man, and Cybernetics Society (SMCS) to initiate a roadmap study and working plan for a new model of support and collaboration among ieee Societies and Councils in the future. We hope this will stimulate more communication and discussion for deep and effective coordination and collaboration among ieee Councils and Societies.

关键词： Digital twin Collaboration Blockchain Cybernetics Radiofrequency identification

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ieee Access Special Section Editorial: Scalable Deep Learning for Big Data

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ieee ACCESS 2020年 8卷 216617-216622页

作者： Han, Liangxiu Zhang, Daoqiang Rana, Omer Pan, Yi Jabbar, Sohail Yousif, Mazin Aloqaily, Moayad Manchester Metropolitan Univ Dept Comp & Math Manchester M1 5GD Lancs England Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 210016 Peoples R China Cardiff Univ Sch Comp Sci & Informat Cardiff CF24 3AA Wales Georgia State Univ Dept Comp Sci Atlanta GA 30302 USA Univ Faisalabad Dept Computat Sci Faisalabad 38000 Pakistan DXC Technol Tysons VA 22102 USA Al Ain Univ Fac Engn Al Ain U Arab Emirates

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Integrating transcriptome and proteome information for the analysis of alternative splicing

Integrating transcriptome and proteome information for the a...

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2012 ieee 2nd conference on Healthcare Informatics, Imaging and systems Biology, HISB 2012

作者： Kroll, José Eduardo De Souza, Jorge Estefano Stransky, Beatriz De Souza, Gustavo A. De Souza, Sandro J. Institute of Bioinformatics and Biotechnology São Paulo Brazil Hemocentro FMUSP-RP Ribeirão Preto Brazil Universidade Federal Do ABC Santo André Brazil Rikshospitalet Norway Brain Institute UFRN Natal Brazil

ISBN: (纸本)9780769549217

Alternative splicing events (AS) is one of the most significant components behind the complexity of multi-cellular organisms. Most, if not all, multi-exonic human genes undergo AS. Many AS events are involved in the etiology of cancer, among many other common human disorders. The emergence of next-generation sequencing offers a unique opportunity to explore the variability generated by AS at an exhaustive way. Furthermore, recent developments is new mass-spectometry platforms has allowed a deeper survey of the human proteome. Here, an analysis of intron retention, the most rare type of AS, was performed integrating transcriptome and proteome data. Intron retention events were evaluated in relation to several features, focusing whether they have biological significance or whether they are just spurius products from the splicing machinery. For the transcriptome analysis, the following dataset was used: 30,678 RefSeqs, 258,444 mRNAs, 6,987,423 ESTs and 9,565,439 sequences derived from NGS. For the proteome analysis, data from Geiger et al., MCP, 2012 was used. We were able to detect an intron retention event for 48% of all human genes. Confirming a previous publication from our group (Galante et al., RNA 2004), these events are enriched at the 3'and 5'untranslated regions (UTRs). Retained introns were significantly enriched with coding potential, which supports a biological role for these events. Furthermore, they were enriched for targets of microRNAs, suggesting a role of this type of AS in the regulation of expression induced by these non-coding RNAs. A significant number of events were detected at the proteome level. This information was integrated together with transcriptome data to further explore the role of intron retention in many biological phenomena. © 2012 ieee.

关键词： RNA

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Performance evaluation of ieee802.16-2004 Wimax with fixed high fading channels

Performance evaluation of IEEE802.16-2004 Wimax with fixed h...

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ieee Annual conference on Wireless and Microwave Technology (WAMICON)

作者： S. Askar H S Al-Raweshidy School of Engineering and Design Brunei University London UK

Wimax (Worldwide Interoperability for Microwave Access) is a promising technology which can offer high speed data, voice and video service to the customer end, which is presently, dominated by the cable and digital subscriber line (DSL) technologies. The performance assessment of Wimax systems is dealt with. The biggest advantage of Broadband wireless application (BWA) over its wired competitors is its increased capacity and ease of deployment. The aims of this paper are to model and simulate the fixed OFDM ieee 802.16d physical layer under variant combinations of digital modulation (BPSK, QPSK, and 16-QAM) over diverse combination of fading channels (AWGN, SUIs).

关键词： OFDM Delay computational modeling WiMAX Antennas Educational institutions Robustness

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Construction of signaling pathways and identification of drug effects on the liver cancer cell HepG2

Construction of signaling pathways and identification of dru...

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32nd Annual International conference of the ieee Engineering-in-Medicine-and-Biology-Society (EMBC 10)

作者： Alexopoulos, Leonidas G. Melas, Ioannis N. Chairakaki, Aikaterini D. Saez-Rodriguez, Julio Mitsos, Alexander Natl Tech Univ Athens Dept Mech Engn GR-15780 Athens Greece MIT Dept Mech Engn Cambridge MA 02139 USA Harvard Sch Med Dept Syst Biol Boston MA 02215 USA MIT Dept Biol Engn Cambridge MA 02139 USA

ISBN: (纸本)9781424441242

Construction of signaling pathway maps and identification of drug effects are major challenge for pharmaceutical industries. Signaling maps are usually obtained from manual literature search, automated text mining algorithms, or canonical pathway databases (i.e. Reactome, KEGG, STKE, Pathway Studio, Ingenuity etc.) and in some cases they are used in combination with gene expression or mass spec data in an effort to create pathways specific to cell types or diseases. Our approach combines computational models with novel multicombinatorial high-throughput phosphoproteomic data for the functional analysis of signalling networks in mammalian cells. On the experimental front, we subject the cells with hundreds of co-treatment with a diverse set of ligands and inhibitors and we measure phosphorylation events on key signaling proteins using the xMAP technology. On the computational front, we create pathway maps that are cell type specific by fitting our phosphoprotein dataset into generic signaling maps via an Integer Linear programming formulation. To identify drug effects, we monitor the differences of topologies created with and without the presence of drug. In the present work, we use this approach to identify the effects of Nilotinib, a well known anti-cancer drug.

关键词： Nilotinib anticancer drug biochemistry bioinformatics cancer cellular biophysics drug effect identification drugs functional analysis generic signaling maps inhibitors integer linear programming formulation ligands linear programming liver liver cancer cell HepG2 mammalian cells medical signal detection medical signal processing multicombinatorial high-throughput phosphoproteomic data phosphoprotein dataset phosphorylation proteomics signaling pathway maps

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A marked point process model with strong prior shape information for the extraction of multiple, arbitrarily-shaped objects

A marked point process model with strong prior shape informa...

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5th International conference on Signal Image Technology and Internet Based systems, SITIS 2009

作者： Kulikova, Maria Jermyn, Ian Descombes, Xavier Zerubia, Josiane Zhizhina, Elena Ariana Research Team INRIA Sophia-Antipolis Mediterannee 2004 route des Lucioles 06902 Sophia-Antipolis Cedex France Bolshoy Karetny per. 19 127994 Moscow Russia

ISBN: (纸本)9780769539591

We define a method for incorporating strong prior shape information into a recently extended Markov point process model for the extraction of arbitrarily-shaped objects from images. To estimate the optimal configuration of objects, the process is sampled using a Markov chain based on a stochastic birth-and-death process defined in a space of multiple objects. The single objects considered are defined by both the image data and the prior information in a way that controls the computational complexity of the estimation problem. The method is tested via experiments on a very high resolution aerial image of a scene composed of tree crowns. © 2009 ieee.

关键词： Extraction

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A web services based artificial market 09

A web services based artificial market

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Simulation Winter conference

作者： Karla Atkins Chris Barrett Achla Marathe Virginia Bioinformatics Institute Virginia Polytechnic Institute and State University Blacksburg VA USA

ISBN: (纸本)9781424457717

We describe a web services based computational tool for studying large commodity markets. The software architecture is based on three important guiding principles: (i) efficiency and scalability, (ii) extensibility to incorporate several different clearing mechanisms and commodities, (iii) modularity for platform independent operations and use. The computational model has several distinguishing features. They include: (i) the ability to generate individualistic, demographics based, time-varying demand profiles, (ii) a highly configurable system that supports different market clearing mechanisms, strategies and matching algorithms for buyers and sellers (Atkins, Marathe, and Barrett 2007), (iii) ability to aggregate individuals into different hierarchy of classes and (iv) ability to physically clear flow based commodities. From the software standpoint, the architecture has several unique features, including use of web services for loosely coupling individual elements of the system, an easy to use web based graphical user interface for specifying input parameters as well as viewing the results, and a work flow language for modeling various markets and market mechanism (Atkins et al. 2004). The system provides users the unique ability to experiment with a variety of markets such as market for communication spectrum, Internet bandwidth, electricity, as well as traditional commodities like corn, cotton etc.

关键词： Web services Software architecture Scalability computational modeling Demography Time varying systems Aggregates Computer architecture Service oriented architecture Graphical user interfaces

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proceedings - 2004 ieee computational systems bioinformatics conference, csb 2004: Preface

Proceedings - 2004 IEEE Computational Systems Bioinformatics...

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proceedings - 2004 ieee computational systems bioinformatics conference, csb 2004

作者： Markstein, Vicky IEEE Computer Society Bioinformatics

No abstract available

ISBN: (纸本)0769521940

No abstract available

关键词：

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proceedings - 2004 ieee computational systems bioinformatics conference, csb 2004

Proceedings - 2004 IEEE Computational Systems Bioinformatics...

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proceedings - 2004 ieee computational systems bioinformatics conference, csb 2004

ISBN: (纸本)0769521940

The proceedings contain 160 papers from the 2004 ieee computational systems bioinformatics conference, csb 2004. The topics discussed include: fractal genomics modeling: a new approach to genomic analysis and biomarker discovery;from DNA sequence to network behavior: functional properties of genetic regulatory networks;segmental duplications containing tandem repeated genes encoding putative deubiquitinating enzymes;profile-based string kernels for remote homology detection and motif extraction;a mixed factors model for dimension reduction and extraction of a group structure in gene expression data;improved Fourier transform method for unsupervised cell-cycle regulated gene prediction;and biclustering in gene expression data by tendency.

关键词： Genes

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